Earth and Ocean Sciences (EOS) Courses>Scientific Computing and Environmental Data Analysis

EOS230 - Scientific Computing and Environmental Data Analysis

Description

An introduction to using computer programming to analyze climate data. Topics include: fundamentals of programming, data visualization, analysis of spatial data, descriptive statistics, linear regression.

Units

1.5

Hours: lecture-lab-tutorial

3-0-2

Cross-listed courses

GEOG230 - Scientific Computing and Environmental Data Analysis

Note(s)

  • Credit will be granted for only one of EOS 230, GEOG 230.

Prerequisites

  • Complete all of the following
    • Complete 1.5 units of:
      100 level MATH
    • Complete 1 of:
      • EOS110 - Oceans and Atmosphere (1.5)
      • EOS130 - Climate Change (1.5)
      • GEOG130 - Climate Change (1.5)
    • or permission of the department.

Course offered by

School of Earth and Ocean Sciences

Course schedules

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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